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Dissociable processes for learning the surface structure and abstract structure of sensorimotor sequences

P F Dominey1, T Lelekov, J Ventre-Dominey

  • 1Centre National de la Recherche Scientifique UPR 9075, Institut des Sciences Cognitives, 67 Boulevard Pinel, Lyon, 69675, FR. dominey@isc.cnrs.fr.

Journal of Cognitive Neuroscience
|December 1, 1998
PubMed
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Learning sensorimotor sequences involves two separate processes: one for surface order and another for abstract relationships. Abstract structure learning, crucial for transfer, requires explicit processing and involves the left anterior cortex.

Area of Science:

  • Cognitive Neuroscience
  • Neurobiology
  • Computational Neuroscience

Background:

  • Sensorimotor sequences possess hierarchical information structures.
  • Distinguishing between surface and abstract structure learning is key to understanding sequence processing.

Purpose of the Study:

  • To investigate the hypothesis of two dissociable processes for learning surface and abstract sensorimotor sequence structures.
  • To determine the neural basis for these dissociable learning processes.

Main Methods:

  • Simulations of sequence learning in serial reaction time (SRT) tasks using a primate fronto-striatal model.
  • Human subject experiments with explicit and implicit learning conditions for sequences with varying structures.
  • Neuropsychological findings synthesis.

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Main Results:

  • The fronto-striatal system model learns surface structure but not abstract structure.
  • Surface and abstract structure learning are independent processes.
  • Only abstract structure learning transfers to isomorphic sequences.
  • Human subjects learn surface structure implicitly, but abstract structure learning and transfer require explicit processing and involve the left anterior cortex.

Conclusions:

  • Sensorimotor sequence learning involves dissociable processes for surface and abstract structures.
  • Surface structure learning relies on implicit, fronto-striatal processes.
  • Abstract structure learning requires explicit processing via a distributed network including the left anterior cortex.